Description

A sub-strategy for the U.S. Sector strategy.

Methodology & Assets

See the main US Sector strategy for a detailed asset description.

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Which means for our asset as example:
  • Compared with the benchmark SPY (83.4%) in the period of the last 5 years, the total return, or increase in value of 20.4% of US Sectors Balanced Sub-strategy is smaller, thus worse.
  • Compared with SPY (79.8%) in the period of the last 3 years, the total return of -2.9% is lower, thus worse.

CAGR:

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Using this definition on our asset we see for example:
  • The annual return (CAGR) over 5 years of US Sectors Balanced Sub-strategy is 3.8%, which is lower, thus worse compared to the benchmark SPY (12.9%) in the same period.
  • During the last 3 years, the annual return (CAGR) is -1%, which is smaller, thus worse than the value of 21.7% from the benchmark.

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Which means for our asset as example:
  • Looking at the 30 days standard deviation of 19.2% in the last 5 years of US Sectors Balanced Sub-strategy, we see it is relatively larger, thus worse in comparison to the benchmark SPY (17.1%)
  • Compared with SPY (15.2%) in the period of the last 3 years, the historical 30 days volatility of 15.4% is higher, thus worse.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the downside deviation of 14.2% of US Sectors Balanced Sub-strategy is higher, thus worse.
  • Compared with SPY (10.1%) in the period of the last 3 years, the downside deviation of 11.5% is greater, thus worse.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Applying this definition to our asset in some examples:
  • The ratio of return and volatility (Sharpe) over 5 years of US Sectors Balanced Sub-strategy is 0.07, which is smaller, thus worse compared to the benchmark SPY (0.61) in the same period.
  • Looking at risk / return profile (Sharpe) in of -0.23 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.26).

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Using this definition on our asset we see for example:
  • Looking at the downside risk / excess return profile of 0.09 in the last 5 years of US Sectors Balanced Sub-strategy, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.89)
  • Looking at downside risk / excess return profile in of -0.3 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (1.89).

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Ratio of 15 in the last 5 years of US Sectors Balanced Sub-strategy, we see it is relatively greater, thus worse in comparison to the benchmark SPY (8.45 )
  • During the last 3 years, the Downside risk index is 14 , which is higher, thus worse than the value of 3.5 from the benchmark.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Which means for our asset as example:
  • The maximum DrawDown over 5 years of US Sectors Balanced Sub-strategy is -27.1 days, which is lower, thus worse compared to the benchmark SPY (-24.5 days) in the same period.
  • During the last 3 years, the maximum drop from peak to valley is -26.8 days, which is lower, thus worse than the value of -18.8 days from the benchmark.

MaxDuration:

'The Maximum Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Using this definition on our asset we see for example:
  • Looking at the maximum time in days below previous high water mark of 972 days in the last 5 years of US Sectors Balanced Sub-strategy, we see it is relatively higher, thus worse in comparison to the benchmark SPY (488 days)
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum days under water of 402 days is larger, thus worse.

AveDuration:

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (119 days) in the period of the last 5 years, the average days below previous high of 401 days of US Sectors Balanced Sub-strategy is larger, thus worse.
  • During the last 3 years, the average time in days below previous high water mark is 128 days, which is higher, thus worse than the value of 20 days from the benchmark.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of US Sectors Balanced Sub-strategy are hypothetical and do not account for slippage, fees or taxes.
  • Results may be based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.